Cambridge Syllabus Notes

7 The Systems Life Cycle

The Systems Life Cycle is the journey a system takes from the first idea to its final retirement. Think of it like building a LEGO set: you plan the design, gather the pieces, assemble them, test the model, launch it, and keep it running smoothly.

Phases of the Life Cycle

Phase	Key Activities	Live Data Role
Planning	Define objectives, scope, and resources.	Use current market data to set realistic goals.
Analysis	Gather user requirements and system constraints.	Collect live usage statistics to identify real user needs.
Design	Create architecture, data models, and interfaces.	Design for real‑time data streams and dashboards.
Implementation	Write code, configure databases, and integrate components.	Implement APIs that fetch and push live data.
Testing	Verify functionality, performance, and security.	Use live data to simulate real-world scenarios.
Deployment	Release to users and monitor initial performance.	Track live metrics to spot early issues.
Maintenance	Fix bugs, update features, and optimize.	Use live data dashboards to guide updates.

Live Data Explained

Live data refers to information that is continuously generated and updated in real time. Imagine a live sports scoreboard 📊 that updates instantly as the game progresses. In IT, live data can come from sensors, user interactions, financial feeds, or social media streams.

Key Characteristics:

Real‑time updates (milliseconds to seconds)
High volume and velocity
Requires robust streaming infrastructure
Often used for monitoring, analytics, and instant decision‑making

Using Live Data in Each Phase

Planning: Analyze current market trends using live data to set achievable targets.
Analysis: Capture live user interactions to uncover hidden requirements.
Design: Build data pipelines that can handle streaming input and output.
Implementation: Code event‑driven functions that process data as it arrives.
Testing: Simulate live traffic to test system resilience.
Deployment: Deploy monitoring tools that display live performance metrics.
Maintenance: Use live alerts to detect and resolve issues before users notice.

Exam Tips

Remember to define what live data is and give an example (e.g., a live weather feed).
Show how live data influences each life‑cycle phase; use the table as a quick reference.
Use the analogy of a live sports scoreboard to explain real‑time updates.
When asked about data pipelines, mention streaming vs batch processing.
Include a brief note on monitoring live data for maintenance.

Quick Review Checklist

✔️ Can you explain what live data is?
✔️ Can you list the seven life‑cycle phases?
✔️ Do you know how live data is used in each phase?
✔️ Are you comfortable drawing a simple diagram of the life cycle?

Know and understand the use of live data